DocumentCode :
749571
Title :
Prediction of the quasistatic planar motion of a contacted rigid body
Author :
Trinkle, Jeffrey C. ; Zeng, Dora C.
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Volume :
11
Issue :
2
fYear :
1995
fDate :
4/1/1995 12:00:00 AM
Firstpage :
229
Lastpage :
246
Abstract :
Planning the motion of bodies in contact requires a model of contact mechanics in order to predict sliding, rolling, and jamming. Such a model typically assumes that the bodies are rigid and that tangential forces at the contacts obey Coulomb´s law. Though, usually assumed to be constant, the static and dynamic coefficients of friction vary in space and time and are difficult to measure accurately. In this paper, we study a quasistatic, multi-rigid-body model for planar systems, in which the coefficients of friction are treated as independent variables. Our analysis yields inequalities defining regions in the space of friction coefficients for which a particular contact mode is feasible. The geometrical interpretation of these inequalities leads to a simple graphical technique to test contact mode feasibility. This technique is then used to generate a nontrivial example in which several contact modes are simultaneously feasible. Despite model ambiguity, there are factors which argue in favor of using a quasistatic, rigid-body model. This point is highlighted by the successful application of our results to the planning of two manipulation tasks
Keywords :
friction; manipulators; mechanical contact; optimisation; path planning; contact mechanic model; contact modes; contacted rigid body; friction; geometrical interpretation; manipulation tasks; motion planning; quasistatic multi-rigid-body model; quasistatic planar motion prediction; Computer science; Finite element methods; Friction; Jamming; Motion control; Performance analysis; Predictive models; Robotic assembly; Robotics and automation; Space technology;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.370504
Filename :
370504
Link To Document :
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